Rule-based systems: a granular computing perspective H Liu, A Gegov, M Cocea Granular Computing 1, 259-274, 2016 | 126 | 2016 |
Interactive TOPSIS based group decision making methodology using Z-numbers AM Yaakob, A Gegov International Journal of Computational Intelligence Systems 9 (2), 311-324, 2016 | 122 | 2016 |
Complexity management in fuzzy systems A Gegov Springer, 2007 | 109 | 2007 |
Fuzzy networks for complex systems A Gegov Berlin, Heidelberg: Springer. doi 10, 978-3, 2010 | 87 | 2010 |
Rule based systems for big data: a machine learning approach H Liu, A Gegov, M Cocea Springer, 2015 | 86 | 2015 |
Multi-layer decision methodology for ranking Z-numbers ASA Bakar, A Gegov International Journal of Computational Intelligence Systems 8 (2), 395-406, 2015 | 81 | 2015 |
Confidence levels q‐rung orthopair fuzzy aggregation operators and its applications to MCDM problems BP Joshi, A Gegov International Journal of Intelligent Systems 35 (1), 125-149, 2020 | 68 | 2020 |
FN-TOPSIS: Fuzzy networks for ranking traded equities AM Yaakob, A Serguieva, A Gegov IEEE Transactions on Fuzzy Systems 25 (2), 315-332, 2016 | 63 | 2016 |
Hierarchical fuzzy control of multivariable systems AE Gegov, PM Frank Fuzzy Sets and Systems 72 (3), 299-310, 1995 | 62 | 1995 |
AI tools for use in assembly automation and some examples of recent applications D Sanders, A Gegov Assembly Automation 33 (2), 184-194, 2013 | 51 | 2013 |
Flow control of fluid in pipelines using PID controller S Razvarz, C Vargas-Jarillo, R Jafari, A Gegov IEEE Access 7, 25673-25680, 2019 | 50 | 2019 |
Categorization and construction of rule based systems H Liu, A Gegov, F Stahl Engineering Applications of Neural Networks: 15th International Conference …, 2014 | 49 | 2014 |
Improving ability of tele‐operators to complete progressively more difficult mobile robot paths using simple expert systems and ultrasonic sensors DA Sanders, J Graham‐Jones, A Gegov Industrial Robot: An International Journal 37 (5), 431-440, 2010 | 44 | 2010 |
A rule-based expert system to decide on direction and speed of a powered wheelchair DA Sanders, A Gegov, M Haddad, F Ikwan, D Wiltshire, YC Tan Intelligent Systems and Applications: Proceedings of the 2018 Intelligent …, 2019 | 42 | 2019 |
A comparison study on flush+ reload and prime+ probe attacks on aes using machine learning approaches Z Allaf, M Adda, A Gegov Advances in Computational Intelligence Systems: Contributions Presented at …, 2018 | 42 | 2018 |
Fuzzy rule based approach with z-numbers for selection of alternatives using TOPSIS AM Yaakob, A Gegov 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2015 | 38 | 2015 |
Distributed fuzzy control of multivariable systems A Gegov Springer Science & Business Media, 2013 | 38 | 2013 |
Neural network approach to solving fuzzy nonlinear equations using Z-numbers R Jafari, S Razvarz, A Gegov IEEE Transactions on Fuzzy Systems 28 (7), 1230-1241, 2019 | 37 | 2019 |
Decomposition of multivariable systems for distributed fuzzy control AE Gegov, PM Frank Fuzzy Sets and Systems 73 (3), 329-340, 1995 | 34 | 1995 |
A new computational method for solving fully fuzzy nonlinear systems R Jafari, S Razvarz, A Gegov Computational Collective Intelligence: 10th International Conference, ICCCI …, 2018 | 32 | 2018 |